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元分析在社会科学领域的应用与进展述评 被引量:8

Review of Application and Evolution of Meta-Analysis in Social Sciences
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摘要 【目的】对社会科学领域的元分析最新应用与进展进行研究。【方法】对社会科学领域元分析的主要特征进行归纳和总结,剖析目前社会科学元分析应用中的关键问题,对社会科学领域的两个元分析数据库MetaBUS和CoDa进行案例分析,并从不同视角对社会科学元分析进行讨论与展望。【结果】社会科学元分析主要为汇总数据元分析,所使用的效应值主要为r值和标准均值差,应用传统元分析方法较多。目前存在的关键问题有效应值偏差、缺乏透明度、耗费时间与人力、缺乏质量评估等。元分析数据库和元分析研究可以起到相互促进的作用,数据仓储、开放科学运动、人工智能技术等对元分析研究皆有不同程度的影响。【局限】主要基于抽样样本进行内容分析,对元分析特征及问题的全面揭示会有潜在的限制性。【结论】社会科学领域元分析尚存许多问题亟待解决,需要各方共同努力提高其质量,增强其结论的有效性。 [Objective]This paper reviews the latest application and evolution of meta-analysis in social sciences.[Methods]First,we summarized the main characteristics of meta-analysis as well as the key problems facing the application of meta-analysis in social sciences.Then,we conducted case studies with the MetaBUS and CoDa databases.Finally,we exmined the meta-analysis from different perspectives.[Results]The meta-analysis in social sciences mainly studied the aggregated data meta with traditional methods,such as standardized mean differences and correlation coefficients.At present,the key issues are effect size deviation,lack of transparency and quality assessment,as well as time and manpower consuming,etc.Meta-analytics database and meta-analytic research can benefit each other.Data repository,open science movement and artificial intelligence technology all posed various significant impacts on meta-analytical research.[Limitations]The content analysis is mainly based on sampling samples,so there are potential limitations in comprehensively revealing the characteristics and problems of meta-analysis.[Conclusions]There are still many problems to be addressed for meta-analysis in social sciences,and all parties need to work together to improve these research and draw better conclusions.
作者 李晓 曲建升 Li Xiao;Qu Jiansheng(Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;University of Chinese Academy of Sciences,Beijing 100049,China;Chengdu Library and Information Center,Chinese Academy of Sciences,Chengdu 610041,China)
出处 《数据分析与知识发现》 CSSCI CSCD 北大核心 2021年第11期1-12,共12页 Data Analysis and Knowledge Discovery
基金 国家重点研发计划资助项目(项目编号:2018YFC1509007)的研究成果之一。
关键词 元分析 社会科学 主要特征 关键问题 元分析数据库 Meta-Analysis Social Science Main Features Key Problems Meta-Analysis Database
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